1,276 to 1,300 of 9,733 Azure Jobs in the UK

and deployment of automation solutions using tools such as Ansible, Terraform and coding languages including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the … practices, and mentor more junior team members internally. 💡 The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform , AWS and Azure when needed Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with data engineers, DevOps teams, and clients to deliver secure, high-performing environments Drive innovation More ❯

platinum accounts has openings a Cloud SysAdmin for varying skill levels. This role will include working as part of multidisciplinary team to design and develop solutions such as using Azure/AWS as well as datacentre/private cloud to deliver high availability, rapidly developed, fully automated solutions using predominately open-source software which delivers value to the customer. … working within a fast paced and everchanging environment. Attention to detail with a pragmatic and enthusiastic attitude to work. Desirable Skills and Technologies: Experience and knowledge of AWS/Azure and Azure Virtual Desktop. Experience with configuration management tools, e.g., Ansible (preferred), Puppet, Chef. Familiar with (or ability to learn easily) the following languages: Python, bash scripting, React More ❯

branches. Familiar with GitHub 5. CI/CD Concepts Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are. Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced. Understand how code goes from development to production in an automated way. 6. Container Awareness Have heard of Docker and understand the basic … between containers and virtual machines at a high level. Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals Awareness of cloud platforms like AWS and Azure Understand concepts like virtual machines, storage, and networking in the cloud. Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are More ❯

branches. Familiar with GitHub 5. CI/CD Concepts Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are. Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced. Understand how code goes from development to production in an automated way. 6. Container Awareness Have heard of Docker and understand the basic … between containers and virtual machines at a high level. Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals Awareness of cloud platforms like AWS and Azure Understand concepts like virtual machines, storage, and networking in the cloud. Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are More ❯

packages, and workflows • Experience with source control (Git), automated builds, and deployment tools • Proven experience leading and mentoring development teams • Strong communication and stakeholder management skills Desirable : • Knowledge of Azure hosting, infrastructure, and DevOps pipelines • Experience working in an agency or client-facing environment • Exposure to agile methodologies and tools (e.g., Jira, Azure DevOps) • Umbraco Certification Benefits : • Competitive More ❯

where your work directly drives the product vision. What you'll be doing: Designing and deploying scalable, high-performance cloud infrastructure for ML workloads. Managing cloud platforms (AWS, GCP, Azure) and setting up ML nodes for both local development and distributed training. Optimizing storage systems to handle big data for ML. Building and scaling containerized applications with Docker, Kubernetes … big plus). Strong scripting ability (Bash, Python, PowerShell, etc.) for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc. More ❯

expertise in pre-sales processes to help win new business. Contribute to the development of training plans for junior staff. Required Skills & Qualifications: Experience designing cloud data platforms in Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL … experience within a technical team. Agile and/or DevOps project delivery experience, including peer reviews and continuous improvement practices. Familiarity with backlog management tools such as Jira or Azure DevOps. Benefits: 36 days annual leave entitlement, with incremental increase. Sabbatical policy and flexible, hybrid working. Modern office space and funded qualifications/certifications. Private Health Insurance with Vitality More ❯

practices and common developer pitfalls. Scripting for testing/automation (Python, Bash, Go). Experience with cloud-native architectures (Docker, Kubernetes, IaC). Knowledge of securing cloud platforms (AWS, Azure, GCP) and understanding cloud security best practices. Effective communication and collaboration with developers and DevOps. Comfortable operating in agile, fast-paced environments. Desirable skills/knowledge/experience: Exceptional … Exposure to cloud security and IaC misconfiguration testing. Comfortable documenting technical findings and engaging in remediation cycles. Nice to have certifications (not mandatory): OSCP, OSWA, CRTO, GWAPT, GPEN, eWPT Azure Security Engineer Associate/AWS Security Specialty Kubernetes Security or DevSecOps-focused certifications More ❯

outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing … SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

adapt as products and requirements change Make strategic technical decisions about API gateways, authentication, rate limiting, and versioning Development & Integration Build production-grade APIs using C# .NET, SQL, and Azure services Develop event-driven architectures and asynchronous communication patterns where appropriate Ensure APIs are well-documented using OpenAPI/Swagger standards Build and maintain a developer portal for internal … API platform experience - you've designed API infrastructure serving multiple products or customers, not just single applications Security and compliance awareness especially for sensitive data domains (financial, healthcare, etc.) Azure cloud experience including Azure Functions, API Management, Service Bus, or similar services Authentication & authorization expertise with OAuth 2.0, JWT, API keys, and modern security patterns Testing mindset - you More ❯

leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy to cloud-native Built distributed systems on AWS or Azure Strong More ❯

Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver … in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not More ❯

Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver … in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not More ❯

Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver … in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not More ❯

Developing and optimising APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver … in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not More ❯

ecosystem. Key role and responsibilities Build, deploy, and monitor solutions using AWS services (Lambda, APIGateway, CloudWatch, ECS, ECR, Dynamo, S3 etc.) Integrate APIs into CI/CD pipelines using Azure DevOps, Github workflows Design, deploy, and manage applications tailored to business needs, whilecustomizing platforms and overseeing the full API lifecycle using Apigee Edge and X.Drive API strategy execution, provide … using CI/CD pipelines and infrastructure-as-code tools. Infrastructure & DevOps:o Hands-on experience with Terraform and Ansible for infrastructureprovisioning and configuration management.o Design and manage Azure DevOps CI/CD pipelines for secure and efficientsoftware delivery.o Deploy microservices using AWS ECS, ECR, and Fargate, ensuring secure andscalable architecture. Development & Containerization:o Proficiency in Python More ❯

join them. 50-70k (depending on experience) Fully remote Benefits package Over 4 years experience working with Java, React, Javascript, Python Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies, Cypress, Selenium or Cucumber I have interview slots immediately available - please More ❯

evolves, pushing the boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. … passionate about using modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and More ❯

evolves, pushing the boundaries of what's possible with data and AI. What You'll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. … passionate about using modern data tools and cloud platforms to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and More ❯

and data-driven features. Write clean, testable, maintainable code with strong attention to quality. Collaborate with internal stakeholders to translate business requirements into technical solutions. Support ongoing improvements in Azure DevOps, CI/CD pipelines, and cloud infrastructure. Contribute ideas to modernise and improve existing systems. What You’ll Bring Strong hands-on experience with Angular (modern versions). … Proficiency in C#, ASP.NET Core, and Entity Framework. Experience building and integrating SQL Server databases. Familiarity with Git, Azure, and cloud-based application development. Excellent communication and teamwork skills — able to explain technical ideas clearly. A proactive, problem-solving mindset and a passion for clean, well-structured code. Nice to have: React Native, Power BI, CI/CD pipeline More ❯

evolves, pushing the boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. … passionate about using modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and More ❯

evolves, pushing the boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. … passionate about using modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and More ❯

evolves, pushing the boundaries of what’s possible with data and AI. What You’ll Do Design & build high-performance ETL/ELT pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. … passionate about using modern data tools and cloud platforms to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and More ❯